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import imdb    
ia = imdb.IMDb()
avatar = ia.get_movie("0120667")
ia.update(avatar, 'business')
print avatar['business']

这将返回整个总票房列表,以及每个国家/地区的放映。但是我怎样才能只得到筛选信息呢?并且仅适用于 1 个国家/地区。在这个例子中,我想获得的信息是(美国)(2005 年 7 月 10 日)(3,602 个屏幕)

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1 回答 1

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import imdb
import re

ia = imdb.IMDb()
avatar = ia.get_movie("0120667")
ia.update(avatar, 'business')
opening_weekends = avatar['business']['opening weekend']

def parseDate(date):
    result = {}

    if re.match(".*\d{4}$", date):
        result['year'] = date[-4:]

    m = re.match(".*(?P<month>January|February|March|April|May|June|July|"
                "August|September|October|November|December).*", date, re.I)
    if m:
        result['month'] = m.group('month').lower()

        # try to grab date too then
        daymatch = re.match("^(?P<day>\d{1,2}).*", date)

        if daymatch:
            result['day'] = daymatch.group('day')       
    return result

def parseBudget(amount):
    """
    assumptions: 
    - currency is always before the number
    - no fractions
    """

    # find index first number
    for i in range(len(amount)):
        if amount[i] in "0123456789":
            amount_idx = i
            break

    currency = amount[:amount_idx].strip()
    amount = re.sub("\D", "", amount[amount_idx:])

    return amount, currency

def parseWeekendGross(gross_text):
    g = gross_text.split(' (')
    if not len(g) == 4:
        return ""
    amount, currency = parseBudget(g[0])
    country = g[1].lstrip('(').rstrip(')')
    date = parseDate(g[2].lstrip('(').rstrip(')'))
    day, month, year = date['day'], date['month'], date['year']
    screens = re.sub("\D", "", g[3])
    if not screens:
        screens = "''"

    return amount, currency, country, day, month, year, screens

for entry in opening_weekends:
    amount, currency, country, day, month, year, screens = parseWeekendGross(entry)
    if country == "USA":
        print("Country: %s" % country)
        print("Date: %s %s %s" % (day, month, year))
        print("Screens: %s" % screens)
        break

上面的代码给了我以下结果:

Country: USA
Date: 10 july 2005
Screens: 3602

解析数据的函数是从这个项目复制的:pyIRDG

于 2012-12-07T14:54:18.157 回答